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Automated detection of excessive visual search (ES) experienced by a user during software use presents the potential for substantial improvement in the ...
Automated detection of excessive visual search (ES) experienced by a user during software use presents the potential for substantial improvement in the ...
Apr 16, 2016 · This paper presents an objective evaluation of several methods for the automated segmentation and classification of ES intervals from an eye ...
Identifying usability issues via algorithmic detection of excessive visual search. CHI, 2012. CHI 2012 · DBLP · Scholar · DOI. Full names. Links ISxN. @ ...
Tamir, Identifying Usability Issues via Algorithmic Detection of Excessive Visual Search, In Proceedings of the ACM Conference on Human Factors in Computing ...
This paper presents an objective evaluation of several methods for the automated classification of excessive visual search, a technique which has the ...
Apr 16, 2016 · This paper presents an objective evaluation of several methods for the automated classification of excessive visual search, ...
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Identifying usability issues via algorithmic detection of excessive visual search · Corey HollandOleg V. KomogortsevD. Tamir. Computer Science. CHI. 2012. TLDR.
... user behavior is referred to as excessive visual search (ES). In this work we propose and evaluate several ES detection algorithms as part of the EMA.
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This paper reports on a two-phase empirical study to identify the usability problems in audio guides and websites of cultural heritage museums.